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Record W1984069013 · doi:10.3109/08880018.2012.713085

Prevalence of Beta-Thalassemia Trait and Abnormal Hemoglobins in the Province of Adıyaman, Turkey

2012· article· en· W1984069013 on OpenAlexaboutno aff
Ahmet Genç, Deniz Taştemir Korkmaz, Meral Urhan Küçük, Eyup Rencuzogullari, Selman Atakur, Süleyman Bayram, Muhittin Önderci, Tuba Koç Özkan, Sinan Aslan, Abdullah Mutalip, Muslum Faruk, Yusuf Sevgiler, Aygül Tunçdemir

Bibliographic record

VenuePediatric Hematology and Oncology · 2012
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsThalassemiaMedicineHemoglobinBeta thalassemiaTraitBETA (programming language)Hemoglobin A2Internal medicine

Abstract

fetched live from OpenAlex

BACKGROUND/AIMS: Thalassemia is one of the most common hereditary disorders in Turkey. The aim of this study was to determine the prevalence of the beta-thalassemia trait and abnormal hemoglobins in the province of Adıyaman in Turkey. METHODS: The study included 3571 high school students of both sexes; aged 12-22 (mean 16.59 ± 1.34). After they received information about thalassemia, they were screened for beta-thalassemia and abnormal hemoglobin using complete blood count (CBC) and quantification of hemoglobin. Hemoglobin was fractionated using HPLC. RESULTS: The beta-thalassemia trait was found in 38 students (1.06%), and abnormal hemoglobin in seven students (0.20%). Of the latter, four carried HbD Los Angeles, two HbS, and one HbE-Saskatoon. CONCLUSION: The prevalence of the beta-thalassemia trait and abnormal hemoglobin in the province of Adıyaman is low, compared to the rest of Turkey. Our results seem to reflect the heterogeneity of beta-thalassemia in the province of Adıyaman and may be of value for genetic counseling and premarital screening.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.269
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2012
Admission routes1
Has abstractyes

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